中級賽道 ·免費

人工智慧政策與社會

透過權利、公平、治理、安全和公共利益結果來分析人工智慧系統。

4模組
9指南
~6h完成

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結果

你能做什麼

  • Identify affected stakeholders and unequal impacts.
  • Compare governance tools and their enforcement limits.
  • Write evidence-grounded public-interest analysis.

推薦先看: 人工智慧基礎

課程

課程模組

  1. Ethics and impact

    結果: Distinguish values, harms, tradeoffs, and measurable outcomes.

    練習: Create a stakeholder and impact map for one AI deployment.

    偏見和公平Public-interest impact analysis
  2. Privacy, security, and safety

    結果: Separate privacy, misuse, accident, and security risks.

    練習: Build a threat-and-harm register with owners and mitigations.

    隱私和資料處理AI 安全與濫用風險自動化邊界與保障措施
  3. Law and governance

    結果: Compare regulation, standards, audits, procurement, and internal controls.

    練習: Compare two governance approaches against the same public problem.

    AI policy and regulationGovernance and accountability
  4. Public communication

    結果: Explain evidence and uncertainty without hype or false balance.

    練習: Write a 300-word public briefing with sources, limits, and a decision point.

    Stakeholder communication來源與主張驗證Uncertainty and confidence calibration

應用頂點

Public-interest AI briefing

Publish a sourced briefing on one current AI policy or social-impact question.

  • Stakeholder map
  • Primary evidence
  • Policy options
  • Uncertainty and recommendation